The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-03"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3506729 (up from 3427343 yesterday: 2.32 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "247470 (up from 243808 yesterday: 1.5 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.06



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1158040 25501 2.25 67682 1313 1.98 5.84
Spain 217466 884 0.41 25264 164 0.65 11.62
Italy 210717 1389 0.66 28884 174 0.61 13.71
United Kingdom 187842 4342 2.37 28520 315 1.12 15.18
France 168925 407 0.24 24900 137 0.55 14.74
Germany 165664 697 0.42 6866 54 0.79 4.14
Russia 134687 10633 8.57 1280 58 4.75 0.95
Turkey 126045 1670 1.34 3397 61 1.83 2.70
Brazil 101826 4726 4.87 7051 290 4.29 6.92
Iran 97424 976 1.01 6203 47 0.76 6.37
China 83964 5 0.01 4637 0 0.00 5.52
Canada 60504 2578 4.45 3795 111 3.01 6.27
Belgium 49906 389 0.79 7844 79 1.02 15.72
Peru 45928 3394 7.98 1286 86 7.17 2.80
India 42505 2806 7.07 1391 68 5.14 3.27
Netherlands 40769 335 0.83 5072 69 1.38 12.44
Switzerland 29905 88 0.30 1762 0 0.00 5.89
Ecuador 29538 2074 7.55 1564 193 14.08 5.29
Saudi Arabia 27011 1552 6.10 184 8 4.55 0.68
Portugal 25282 92 0.37 1043 20 1.96 4.13
Mexico 23471 1383 6.26 2154 93 4.51 9.18
Sweden 22317 235 1.06 2679 10 0.37 12.00
Ireland 21506 330 1.56 1303 17 1.32 6.06
Pakistan 20084 981 5.14 457 17 3.86 2.28
Chile 19663 1228 6.66 260 13 5.26 1.32
Singapore 18205 657 3.74 18 1 5.88 0.10
Belarus 16705 877 5.54 99 2 2.06 0.59
Israel 16208 23 0.14 232 3 1.31 1.43
Austria 15597 39 0.25 598 2 0.34 3.83
Qatar 15551 679 4.57 12 0 0.00 0.08
Japan 14877 306 2.10 487 13 2.74 3.27
United Arab Emirates 14163 564 4.15 126 7 5.88 0.89
Poland 13693 318 2.38 678 14 2.11 4.95
Romania 13163 431 3.39 790 19 2.46 6.00
Ukraine 11913 502 4.40 288 9 3.23 2.42
Indonesia 11192 349 3.22 845 14 1.68 7.55
Korea, South 10801 8 0.07 252 2 0.80 2.33
Denmark 9721 116 1.21 484 9 1.89 4.98
Serbia 9464 102 1.09 193 4 2.12 2.04
Bangladesh 9455 665 7.57 177 2 1.14 1.87
Philippines 9223 295 3.30 607 4 0.66 6.58
Dominican Republic 7954 376 4.96 333 7 2.15 4.19
Norway 7847 38 0.49 211 0 0.00 2.69
Czechia 7781 26 0.34 248 3 1.22 3.19
Colombia 7668 383 5.26 340 16 4.94 4.43
Panama 7090 0 0.00 197 0 0.00 2.78
Australia 6822 23 0.34 95 1 1.06 1.39
South Africa 6783 447 7.05 131 8 6.50 1.93
Egypt 6465 272 4.39 429 14 3.37 6.64
Malaysia 6298 122 1.98 105 2 1.94 1.67
Finland 5254 78 1.51 230 10 4.55 4.38
Kuwait 4983 364 7.88 38 5 15.15 0.76
Morocco 4903 174 3.68 174 1 0.58 3.55
Argentina 4783 102 2.18 246 9 3.80 5.14
Algeria 4474 179 4.17 463 4 0.87 10.35
Moldova 4121 69 1.70 125 1 0.81 3.03
Kazakhstan 3920 63 1.63 27 2 8.00 0.69
Luxembourg 3824 12 0.31 96 4 4.35 2.51
Bahrain 3383 99 3.01 8 0 0.00 0.24
Hungary 2998 56 1.90 340 5 1.49 11.34
Thailand 2969 3 0.10 54 0 0.00 1.82
Afghanistan 2704 235 9.52 85 13 18.06 3.14
Greece 2626 6 0.23 144 1 0.70 5.48
Oman 2568 85 3.42 12 0 0.00 0.47
Nigeria 2558 170 7.12 87 2 2.35 3.40
Armenia 2386 113 4.97 35 2 6.06 1.47
Iraq 2296 77 3.47 97 2 2.11 4.22
Ghana 2169 0 0.00 18 0 0.00 0.83
Uzbekistan 2149 31 1.46 10 1 11.11 0.47
Croatia 2096 8 0.38 79 2 2.60 3.77
Cameroon 2077 0 0.00 64 0 0.00 3.08
Azerbaijan 1932 38 2.01 25 0 0.00 1.29
Bosnia and Herzegovina 1857 18 0.98 77 5 6.94 4.15
Iceland 1799 1 0.06 10 0 0.00 0.56
Estonia 1700 1 0.06 55 2 3.77 3.24
Cuba 1649 38 2.36 67 1 1.52 4.06
Bulgaria 1618 24 1.51 73 1 1.39 4.51
Bolivia 1594 365 29.70 76 10 15.15 4.77
Guinea 1586 0 0.00 7 0 0.00 0.44
North Macedonia 1511 5 0.33 84 2 2.44 5.56
New Zealand 1487 0 0.00 20 0 0.00 1.34
Slovenia 1439 0 0.00 96 2 2.13 6.67
Lithuania 1410 4 0.28 46 0 0.00 3.26
Slovakia 1408 1 0.07 24 0 0.00 1.70
Cote d’Ivoire 1398 36 2.64 17 2 13.33 1.22
Senegal 1182 67 6.01 9 0 0.00 0.76
Djibouti 1112 0 0.00 2 0 0.00 0.18
Honduras 1055 45 4.46 82 6 7.89 7.77
Tunisia 1013 4 0.40 42 0 0.00 4.15

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 316415 3438 1.10 24708 510 2.11 7.81 16265.15 1270.10 1 in 61
New Jersey 126744 3027 2.45 7871 129 1.67 6.21 14269.45 886.16 1 in 70
Massachusetts 68087 1824 2.75 4004 158 4.11 5.88 9797.39 576.16 1 in 102
Illinois 61499 2994 5.12 2618 59 2.31 4.26 4853.21 206.60 1 in 206
California 54903 1556 2.92 2216 36 1.65 4.04 1389.52 56.08 1 in 720
Pennsylvania 51225 731 1.45 2720 25 0.93 5.31 4001.33 212.47 1 in 250
Michigan 43801 594 1.37 4053 32 0.80 9.25 4385.86 405.83 1 in 228
Florida 36078 615 1.73 1379 15 1.10 3.82 1679.79 64.21 1 in 595
Texas 31998 1081 3.50 878 15 1.74 2.74 1103.54 30.28 1 in 906
Louisiana 29340 200 0.69 2012 19 0.95 6.86 6311.31 432.80 1 in 158
Connecticut 29287 0 0.00 2436 0 0.00 8.32 8214.49 683.25 1 in 122
Georgia 28665 334 1.18 1184 7 0.59 4.13 2699.81 111.51 1 in 370
Maryland 25462 989 4.04 1281 30 2.40 5.03 4211.60 211.89 1 in 237
Indiana 19933 638 3.31 1132 17 1.52 5.68 2960.84 168.15 1 in 338
Ohio 19914 579 2.99 1039 17 1.66 5.22 1703.64 88.89 1 in 587
Virginia 18672 934 5.27 660 43 6.97 3.53 2187.56 77.32 1 in 457
Colorado 16635 410 2.53 842 10 1.20 5.06 2888.65 146.21 1 in 346
Washington 15185 182 1.21 834 4 0.48 5.49 1994.12 109.52 1 in 501
Tennessee 13177 516 4.08 210 1 0.48 1.59 1928.39 30.73 1 in 519
North Carolina 11770 182 1.57 434 3 0.70 3.69 1122.23 41.38 1 in 891
Rhode Island 9477 188 2.02 320 24 8.11 3.38 8945.96 302.07 1 in 112
Iowa 9175 532 6.16 184 9 5.14 2.01 2908.02 58.32 1 in 344
Arizona 8640 276 3.30 362 32 9.70 4.19 1134.62 47.54 1 in 881
Missouri 8618 262 3.14 381 5 1.33 4.42 1404.17 62.08 1 in 712
Wisconsin 7964 304 3.97 339 5 1.50 4.26 1367.81 58.22 1 in 731
Alabama 7888 277 3.64 290 2 0.69 3.68 1608.75 59.15 1 in 622
Mississippi 7550 109 1.46 303 12 4.12 4.01 2536.84 101.81 1 in 394
Minnesota 6663 431 6.92 418 24 6.09 6.27 1181.46 74.12 1 in 846
South Carolina 6626 137 2.11 275 8 3.00 4.15 1286.92 53.41 1 in 777
Nebraska 5661 344 6.47 78 5 6.85 1.38 2926.48 40.32 1 in 342
Nevada 5472 83 1.54 258 3 1.18 4.71 1776.53 83.76 1 in 563
Delaware 5208 170 3.37 177 9 5.36 3.40 5348.32 181.77 1 in 187
Utah 5175 190 3.81 50 1 2.04 0.97 1614.18 15.60 1 in 620
Kansas 5156 271 5.55 144 2 1.41 2.79 1769.81 49.43 1 in 565
Kentucky 5130 251 5.14 253 5 2.02 4.93 1148.25 56.63 1 in 871
District of Columbia 5016 219 4.57 251 11 4.58 5.00 7107.34 355.65 1 in 141
Oklahoma 3972 121 3.14 238 0 0.00 5.99 1003.80 60.15 1 in 996
New Mexico 3850 118 3.16 151 13 9.42 3.92 1836.11 72.01 1 in 545
Arkansas 3437 65 1.93 76 4 5.56 2.21 1138.90 25.18 1 in 878
Oregon 2680 45 1.71 109 0 0.00 4.07 635.41 25.84 1 in 1574
South Dakota 2631 43 1.66 21 0 0.00 0.80 2974.03 23.74 1 in 336
New Hampshire 2518 89 3.66 86 2 2.38 3.42 1851.86 63.25 1 in 540
Idaho 2061 0 0.00 64 0 0.00 3.11 1150.07 35.71 1 in 870
Puerto Rico 1808 51 2.90 97 2 2.11 5.37 566.12 30.37 1 in 1766
West Virginia 1195 10 0.84 48 0 0.00 4.02 668.66 26.86 1 in 1496
North Dakota 1191 38 3.30 25 1 4.17 2.10 1562.86 32.81 1 in 640
Maine 1185 32 2.78 57 1 1.79 4.81 881.56 42.40 1 in 1134
Vermont 897 11 1.24 53 2 3.92 5.91 1437.53 84.94 1 in 696
Hawaii 620 0 0.00 17 1 6.25 2.74 437.89 12.01 1 in 2284
Wyoming 586 7 1.21 7 0 0.00 1.19 1012.51 12.09 1 in 988
Montana 455 0 0.00 16 0 0.00 3.52 425.72 14.97 1 in 2349
Alaska 368 3 0.82 9 0 0.00 2.45 503.04 12.30 1 in 1988

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 985911 316415 32.09 50680.23
New Jersey 275066 126744 46.08 30968.26
Massachusetts 314646 68087 21.64 45276.04
Illinois 319313 61499 19.26 25198.67
California 715751 54903 7.67 18114.67
Pennsylvania 240641 51225 21.29 18797.16
Michigan 212532 43801 20.61 21281.17
Florida 428189 36078 8.43 19936.41
Texas 390560 31998 8.19 13469.50
Louisiana 176160 29340 16.66 37893.70
Connecticut 102493 29287 28.57 28747.48
Georgia 175096 28665 16.37 16491.38
Maryland 132794 25462 19.17 21965.11
Indiana 108859 19933 18.31 16169.85
Ohio 150166 19914 13.26 12846.67
Virginia 108002 18672 17.29 12653.24
Colorado 79906 16635 20.82 13875.61
Washington 207315 15185 7.32 27224.94
Tennessee 204607 13177 6.44 29943.19
North Carolina 143835 11770 8.18 13714.14
Rhode Island 71927 9477 13.18 67896.59
Iowa 53186 9175 17.25 16857.31
Arizona 81119 8640 10.65 10652.68
Missouri 82976 8618 10.39 13519.67
Wisconsin 85961 7964 9.26 14763.76
Alabama 92500 7888 8.53 18865.29
Mississippi 77593 7550 9.73 26071.61
Minnesota 82632 6663 8.06 14652.02
South Carolina 64188 6626 10.32 12466.80
Nebraska 31262 5661 18.11 16161.02
Nevada 45269 5472 12.09 14696.98
Delaware 23737 5208 21.94 24376.54
Utah 122102 5175 4.24 38085.96
Kansas 36778 5156 14.02 12624.11
Kentucky 57649 5130 8.90 12903.59
District of Columbia 23102 5016 21.71 32734.02
Oklahoma 63776 3972 6.23 16117.38
New Mexico 74944 3850 5.14 35741.59
Arkansas 52890 3437 6.50 17525.87
Oregon 62054 2680 4.32 14712.63
South Dakota 18417 2631 14.29 20818.19
New Hampshire 28393 2518 8.87 20881.64
Idaho 29807 2061 6.91 16632.77
Puerto Rico 11121 1808 16.26 3482.17
West Virginia 51638 1195 2.31 28894.10
North Dakota 33353 1191 3.57 43766.78
Maine 20731 1185 5.72 15422.42
Vermont 16954 897 5.29 27170.35
Hawaii 32950 620 1.88 23271.88
Wyoming 10219 586 5.73 17656.74
Montana 15007 455 3.03 14041.27
Alaska 21578 368 1.71 29496.48

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 12974 678 5.51 2115 16.30 10311 548 27 5.18 4.22
Gujarat 5428 374 7.40 1042 19.20 4096 290 28 10.69 5.34
Delhi 4549 427 10.36 1362 29.94 3123 64 0 0.00 1.41
Tamil Nadu 3023 266 9.65 1379 45.62 1614 30 1 3.45 0.99
Rajasthan 2886 114 4.11 1356 46.99 1459 71 3 4.41 2.46
Madhya Pradesh 2837 49 1.76 798 28.13 1883 156 5 3.31 5.50
Uttar Pradesh 2645 158 6.35 754 28.51 1848 43 0 0.00 1.63
Andhra Pradesh 1583 58 3.80 488 30.83 1062 33 0 0.00 2.08
Punjab 1102 330 42.75 117 10.62 964 21 1 5.00 1.91
Telangana 1082 21 1.98 545 50.37 508 29 0 0.00 2.68
West Bengal 963 168 21.13 151 15.68 762 50 2 4.17 5.19
Jammu and Kashmir 701 35 5.26 287 40.94 406 8 0 0.00 1.14
Karnataka 614 13 2.16 293 47.72 295 25 0 0.00 4.07
Bihar 517 36 7.48 117 22.63 396 4 0 0.00 0.77
Kerala 500 0 0.00 401 80.20 95 4 0 0.00 0.80
Haryana 442 66 17.55 245 55.43 192 5 0 0.00 1.13
Odisha 162 5 3.18 60 37.04 101 1 0 0.00 0.62
Jharkhand 115 0 0.00 27 23.48 85 3 0 0.00 2.61
Chandigarh 97 3 3.19 19 19.59 77 1 1 Inf 1.03
Uttarakhand 60 1 1.69 39 65.00 20 1 0 0.00 1.67
Chhattisgarh 57 14 32.56 36 63.16 21 0 0 NaN 0.00
Assam 43 0 0.00 33 76.74 9 1 0 0.00 2.33
Ladakh 42 19 82.61 17 40.48 25 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 34 85.00 1 2 0 0.00 5.00
Andaman and Nicobar Islands 33 0 0.00 32 96.97 1 0 0 NaN 0.00
Tripura 16 12 300.00 2 12.50 14 0 0 NaN 0.00
Meghalaya 12 0 0.00 10 83.33 1 1 0 0.00 8.33
Puducherry 12 0 0.00 6 50.00 6 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 410857 77528 526 0.68 18.87 6609 532 36926 14231 18.36
Piemonte 172208 27430 251 0.92 15.93 2496 169 15638 3152 11.49
Emilia-Romagna 197075 26016 166 0.64 13.20 1997 197 9045 3642 14.00
Veneto 378202 18318 94 0.52 4.84 955 103 7299 1516 8.28
Toscana 150914 9563 38 0.40 6.34 513 112 5328 872 9.12
Liguria 54492 8359 47 0.57 15.34 627 68 3551 1209 14.46
Lazio 150912 6809 53 0.78 4.51 1346 95 4385 508 7.46
Marche 64412 6319 21 0.33 9.81 400 43 3198 927 14.67
Campania 86498 4484 25 0.56 5.18 455 30 2726 364 8.12
P.A. Trento 41095 4247 66 1.58 10.33 136 17 1247 429 10.10
Puglia 66443 4144 11 0.27 6.24 410 40 2955 424 10.23
Sicilia 85955 3240 27 0.84 3.77 383 29 2203 242 7.47
Friuli Venezia Giulia 74990 3072 13 0.42 4.10 131 6 1087 297 9.67
Abruzzo 40699 2996 32 1.08 7.36 300 16 1868 330 11.01
P.A. Bolzano 44240 2536 1 0.04 5.73 109 11 665 281 11.08
Umbria 38823 1394 0 0.00 3.59 58 13 183 68 4.88
Sardegna 27737 1319 4 0.30 4.76 92 10 689 119 9.02
Valle d’Aosta 8100 1142 6 0.53 14.10 74 2 109 138 12.08
Calabria 38835 1114 2 0.18 2.87 95 4 702 88 7.90
Basilicata 14210 386 6 1.58 2.72 48 3 194 25 6.48
Molise 7075 301 0 0.00 4.25 8 1 181 22 7.31

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 31873 2209 7.45 2206 70 3.28 6.92 3733.22 258.38 1 in 268
Ontario 18574 253 1.38 1326 34 2.63 7.14 1262.52 90.13 1 in 792
Alberta 5766 96 1.69 95 1 1.06 1.65 1306.55 21.53 1 in 765
British Columbia 2171 0 0.00 114 0 0.00 5.25 424.78 22.31 1 in 2354
Nova Scotia 971 8 0.83 37 6 19.35 3.81 993.39 37.85 1 in 1007
Saskatchewan 433 12 2.85 7 0 0.00 1.62 366.43 5.92 1 in 2729
Manitoba 282 0 0.00 6 0 0.00 2.13 204.72 4.36 1 in 4885
Newfoundland and Labrador 259 0 0.00 3 0 0.00 1.16 496.77 5.75 1 in 2013
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1588 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1039 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 655 7 1.07
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 306 3 0.98
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 198 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 112 1 0.89
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3539.24 206.85 1 in 283
Spain 4660.65 541.45 1 in 215
Italy 3484.08 477.58 1 in 287
United Kingdom 2827.24 429.26 1 in 354
France 2521.65 371.70 1 in 397
Germany 2001.01 82.93 1 in 500
Russia 932.09 8.86 1 in 1073
Turkey 1559.77 42.04 1 in 641
Brazil 486.51 33.69 1 in 2055
Iran 1200.39 76.43 1 in 833
China 60.58 3.35 1 in 16507
Canada 1609.58 100.96 1 in 621
Belgium 4377.72 688.07 1 in 228
Peru 1427.67 39.98 1 in 700
India 31.74 1.04 1 in 31502
Netherlands 2373.05 295.23 1 in 421
Switzerland 3489.50 205.60 1 in 287
Ecuador 1777.26 94.10 1 in 563
Saudi Arabia 820.01 5.59 1 in 1220
Portugal 2456.95 101.36 1 in 407

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 174331 18925 10.86
Cook Illinois 42324 1786 4.22
Nassau New York 36780 1770 4.81
Suffolk New York 34855 1256 3.60
Westchester New York 29884 1086 3.63
Los Angeles California 25699 1231 4.79
Wayne Michigan 17298 1893 10.94
Bergen New Jersey 16185 1210 7.48
Hudson New Jersey 15769 845 5.36
Middlesex Massachusetts 15370 972 6.32
Philadelphia Pennsylvania 15137 638 4.21
Essex New Jersey 14521 1282 8.83
Suffolk Massachusetts 13777 588 4.27
Passaic New Jersey 13364 632 4.73
Union New Jersey 13225 738 5.58
Miami-Dade Florida 12775 369 2.89
Middlesex New Jersey 12597 639 5.07
Rockland New York 12025 519 4.32
Fairfield Connecticut 11801 865 7.33
Essex Massachusetts 9542 499 5.23
Orange New York 8967 329 3.67
New Haven Connecticut 8024 565 7.04
Oakland Michigan 7518 757 10.07
Prince George’s Maryland 7333 277 3.78
Providence Rhode Island 7028 0 0.00
Ocean New Jersey 6871 440 6.40
Harris Texas 6838 133 1.95
Orleans Louisiana 6538 441 6.75
King Washington 6449 459 7.12
Jefferson Louisiana 6388 371 5.81
Monmouth New Jersey 6290 382 6.07
Worcester Massachusetts 6288 312 4.96
Norfolk Massachusetts 6280 550 8.76
Marion Indiana 6176 360 5.83
Hartford Connecticut 6112 741 12.12
Macomb Michigan 5756 628 10.91
Morris New Jersey 5517 449 8.14
Plymouth Massachusetts 5507 323 5.87
Broward Florida 5312 207 3.90
Montgomery Maryland 5150 295 5.73
District of Columbia District of Columbia 5016 251 5.00
Maricopa Arizona 4585 147 3.21
Montgomery Pennsylvania 4552 381 8.37
Mercer New Jersey 4504 255 5.66
Fairfax Virginia 4340 184 4.24
Clark Nevada 4274 218 5.10
Riverside California 4180 161 3.85
Lake Illinois 4161 145 3.48
Dallas Texas 4133 111 2.69
Delaware Pennsylvania 4113 255 6.20

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc